Beyond Publication Counts – The Impact of Citations and Combined Metrics on the Performance Measurement of German Business Researchers

2013 ◽  
pp. 61-86
Author(s):  
Rüdiger W. Waldkirch ◽  
Matthias Meyer ◽  
Michael A. Zaggl
Keyword(s):  
Performance Measurement ◽  
Publication Counts ◽  
The Impact

scholarly journals How Do Political Features Influence the Co-Production of Government Projects? A Case Study of a Medium-Sized Chinese City

2021 ◽  
Vol 13 (14) ◽  
pp. 7600
Author(s):  
Wenting Ma ◽  
Rui Mu ◽  
Martin de Jong
Keyword(s):  
Performance Measurement ◽  
Critical Role ◽  
Chinese City ◽  
Production Stages ◽  
Political Background ◽  
The Government ◽  
And Performance ◽  
Western Experience ◽  
The Impact

Co-production is a solution by which the government provides public services. Co-production theory is built upon Western experience and currently focuses on the types of co-production in different policy stages, the barriers and governance strategies for co-production. However, little attention is paid to how political background will influence the co-production process. To fill the gap, we analyzed a case of co-production that occurred in China, and we characterized the political background as consisting of three main political features: political mobility, central–local relations, and performance measurement. Based on an in-depth case study of a government project in a medium-sized Chinese city, the impact and the changes of political features affecting governmental projects in different co-production stages are analyzed and assessed. We find that political features play a critical role in the co-production of China’s large government projects and may separately and jointly affect co-production. Government performance measurement affects the co-design and co-implementation of projects. Political mobility and changes in local government and performance measurement also affect the co-implementation continuity of the project. Political focus affects the co-design of projects. Central-local relations influence the support from higher government and the actual practices of lower government in the co-implementation stage.

Supplier performance measurement system use, relationship trust, and performance improvement: a dyadic perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vieri Maestrini ◽  
Andrea Stefano Patrucco ◽  
Davide Luzzini ◽  
Federico Caniato ◽  
Paolo Maccarrone
Keyword(s):  
Performance Measurement ◽  
Performance Improvement ◽  
Measurement System ◽  
Structural Equation ◽  
Performance Measurement System ◽  
Content Type ◽  
Performance Improvements ◽  
Supplier Performance ◽  
Performance Measurement Systems ◽  
The Impact

PurposeGrounding on resource orchestration theory, this paper aims to study the relationship between the way buying companies use their supplier performance measurement systems and the performance improvements obtained from suppliers, with relationship trust identified as a mediator in the previous link.Design/methodology/approachThe authors design a conceptual model and test it through structural equation modelling on a final sample of 147 buyer-supplier responses, collected by means of a dyadic survey.FindingsResults suggest that the buyer company may achieve the most by balancing a diagnostic and interactive use of the measurement system, as they are both positively related to supplier performance improvement. Furthermore, relationship trust acts as a mediator in case of the interactive use, but not for the diagnostic. This type of use negatively affects relationship trust, due to its mechanistic use in the buyer-supplier relationship.Originality/valueThe authors’ results contribute to the current academic debate about supplier performance measurement system design and use by analyzing the impact of different supplier performance measurement system uses, and highlighting their relative impact on relationship trust and supplier performance improvement. From a methodological perspective, adopting a dyadic data collection process increases the robustness of the findings.

An experimental investigation of the impact of using big data analytics on customers’ performance measurement

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marwa Rabe Mohamed Elkmash ◽  
Magdy Gamal Abdel-Kader ◽  
Bassant Badr El Din
Keyword(s):  
Big Data ◽  
Performance Measurement ◽  
Data Analytics ◽  
Positive Impact ◽  
Big Data Analytics ◽  
Unstructured Data ◽  
Future Research ◽  
Web Based ◽  
Content Type ◽  
The Impact

Purpose This study aims to investigate and explore the impact of big data analytics (BDA) as a mechanism that could develop the ability to measure customers’ performance. To accomplish the research aim, the theoretical discussion was developed through the combination of the diffusion of innovation theory with the technology acceptance model (TAM) that is less developed for the research field of this study. Design/methodology/approach Empirical data was obtained using Web-based quasi-experiments with 104 Egyptian accounting professionals. Further, the Wilcoxon signed-rank test and the chi-square goodness-of-fit test were used to analyze data. Findings The empirical results indicate that measuring customers’ performance based on BDA increase the organizations’ ability to analyze the customers’ unstructured data, decrease the cost of customers’ unstructured data analysis, increase the ability to handle the customers’ problems quickly, minimize the time spent to analyze the customers’ data and obtaining the customers’ performance reports and control managers’ bias when they measure customer satisfaction. The study findings supported the accounting professionals’ acceptance of BDA through the TAM elements: the intention to use (R), perceived usefulness (U) and the perceived ease of use (E). Research limitations/implications This study has several limitations that could be addressed in future research. First, this study focuses on customers’ performance measurement (CPM) only and ignores other performance measurements such as employees’ performance measurement and financial performance measurement. Future research can examine these areas. Second, this study conducts a Web-based experiment with Master of Business Administration students as a study’s participants, researchers could conduct a laboratory experiment and report if there are differences. Third, owing to the novelty of the topic, there was a lack of theoretical evidence in developing the study’s hypotheses. Practical implications This study succeeds to provide the much-needed empirical evidence for BDA positive impact in improving CPM efficiency through the proposed framework (i.e. CPM and BDA framework). Furthermore, this study contributes to the improvement of the performance measurement process, thus, the decision-making process with meaningful and proper insights through the capability of collecting and analyzing the customers’ unstructured data. On a practical level, the company could eventually use this study’s results and the new insights to make better decisions and develop its policies. Originality/value This study holds significance as it provides the much-needed empirical evidence for BDA positive impact in improving CPM efficiency. The study findings will contribute to the enhancement of the performance measurement process through the ability of gathering and analyzing the customers’ unstructured data.

scholarly journals Effects of Infrastructure Development, Inflation and Economic Growth to Performance Company (ROA, Tobin's Q, PBV): Study on Registered Infrastructure Support Companies in IDX Period 2014-2019

2021 ◽  
Vol 4 (3) ◽  
Author(s):  
Eko Sarjono ◽  
◽  
Kartika Hendra Titisari ◽  
Supawi Pawenang
Keyword(s):  
Economic Growth ◽  
Performance Measurement ◽  
Financial Performance ◽  
Stock Exchange ◽  
Hypothesis Test ◽  
Linear Regression Analysis ◽  
Infrastructure Development ◽  
Tobin’S Q ◽  
Tobin's Q ◽  
The Impact

The financial performance can be used as a benchmark of the ability of an organization or company in achieving its goals. Performance measurement is one of the most important factors for an organization or company, performance measurement is a process of measuring the extent to which a company does work to achieve its goals. The research investigated the impact of infrastructure, economic growth and inflation on financial performance of infrastructure support companies listed in Indonesian Stock Exchange Period 2014-2019 which is proxied by ROA (Return on Assets), Tobin’s Q and PBV (Price to Book Value). The population of this research was the infrastructure support companies listed on the Indonesian Stock Exchange period 2014-2019. Research sampling was conducted using The Purposive Sampling Method. The data analysis was camed out using classical assumption test, multiple linear regression analysis, t-test, F-test and determinan (R2) test with SPSS 21. The research finding showed that the model has an effect on the financial performance as proxied by ROA. So the results of the hypothesis test show that: (1) Infrastructure development has a negative and significant effect on ROA. (2) The inflation rate has a positive and significant effect on ROA. (3) Economic growth has no significant effect on ROA. Meanwhile, the model has no effect on financial performance which is proxied in Tobin's Q and PBV.

scholarly journals From performance measurement to performance management in the impact investment industry

2020 ◽  
Vol 94 (5/6) ◽  
pp. 205-217
Author(s):  
Jeroen van Raak ◽  
Amber Raaphorst
Keyword(s):  
Performance Measurement ◽  
Performance Management ◽  
Institutional Investors ◽  
Structured Interviews ◽  
Impact Measurement ◽  
Standardized Measures ◽  
External Reporting ◽  
The Cost ◽  
Impact Data ◽  
The Impact

Impact investments have the potential to play an important role in solving social and environmental problems. Although the sector is growing rapidly, it does face a number of challenges, in particular related to impact measurement. Measuring the impact of such investments, which aim to achieve social and/or environmental impact while simultaneously generating financial returns, has proven difficult. This study examines the design and application of measurement systems related to impact investments. To investigate this, the seven impact measurement guidelines of the IMWG are used as a framework. We study to which degree impact investors set concrete investment objectives, how they measure and collect data related to the generated impact of the investments, and how they use such data to evaluate investment opportunities. We rely on a qualitative research methodology, including 13 semi-structured interviews among Dutch institutional investors. We find that impact investors typically set general, but not specific impact objectives. Furthermore, we note that impact investors are still searching for and experimenting with performance measures, and that they would value the development of standardized measures. Such standardized measures may assist in reducing the cost of obtaining investment data, while simultaneously increasing data reliability. Although the obtained impact data is currently hardly used for external reporting and impact data driven investment decisions, the institutional investors expect this to happen in the near future as the process of impact measurement matures. This would enable institutional investors to transition from performance measurement to performance management in the impact investment industry.

The Impact of Strategic Performance Measurement System on Organizational Performance in Saudi Universities

2013 ◽  
Vol 1 (2) ◽  
pp. 64-71
Author(s):  
Naser Zouri ◽  
Zahra Abdolkarimi ◽  
Seyed A. Payambarpour
Keyword(s):  
Performance Measurement ◽  
Organizational Performance ◽  
Performance Management ◽  
Enterprise Resource Planning ◽  
Measurement System ◽  
Resource Planning ◽  
Planning System ◽  
Performance Measurement System ◽  
Strategic Performance ◽  
The Impact

Objective- The aim of the study is to enhance the mechanism of strategic performance measurement system goals base of four research questions: (i) to what association between the MCS and enterprise resource planning system (ERPS) intention to strategy performance management system (SPMS)? (ii) To what association between the performance management system (PMS) and ERPS intention to SPMS? (iii) To what relationship between the resource–based view/capabilities and ERPS intention to SPMS? (iv)To do comprehensiveness of organizational performance factors affected on ERPS intention to SPMS? Methodology/Technique A survey questionnaire was used to collect the data in Madinah, Reyaz, and Jeddah. Data was collected during the last section of 2013 of which 160 successful questionnaires were gathered for further analysis. Findings The result shows the impact of evaluation SPMS to solve the market place error and also ability of executives' level of management to solve the behaviours issue in business organization. Novelty - The significance of study contribute executive branch in Saudi universities for the safety of strategic performance measurement system implementation to be modified or changed, taking into account the financial metrics and non-financial when designing a control system. Type of Paper Empirical paper Keywords: , Strategic performance measurement system, Enterprise resource planning system, Strategic management category, Market place error.

The Impact of a BI-Supported Performance Measurement System on a Public Police Force

2019 ◽  
pp. 509-527
Author(s):  
Elad Moskovitz ◽  
Adir Even
Keyword(s):  
Performance Measurement ◽  
Measurement System ◽  
Business Intelligence ◽  
Police Force ◽  
Performance Measurement System ◽  
Moderation Effect ◽  
Relative Metrics ◽  
Time Period ◽  
The Impact

Performance measurement, as an effective tool for implementing organizational strategy and assisting ongoing control and surveillance, is broadly adopted today. The performance measurement system (PMS) explored in this case study was implemented, using business intelligence (BI) technologies, for a public police force. The system lets police commanders view and analyze the performance scores of their own units and get feedback on the success of their activities. The study examines the system's impact, through analysis of the metric results over a time period of five years. The results show that the vast majority of the metrics examined indeed improved. Further, the results underscore the moderation effect of relative metrics weights, as well as the different behavior of metrics that reflect activity versus those that reflect outcomes. The study underscores both the positive and the negative aspects of those results, and discusses their implications for future PMS implementation with BI technologies.

The Complex Issue of Measuring KM Performance

2011 ◽  
pp. 208-230 ◽  
Author(s):  
Enrico Scarso ◽  
Ettore Bolisani ◽  
Antonella Padova
Keyword(s):  
Knowledge Management ◽  
Performance Evaluation ◽  
Performance Measurement ◽  
Practical Experience ◽  
Complex Issue ◽  
Daily Experience ◽  
Business Context ◽  
Evaluation Approaches ◽  
The Impact ◽  
Puzzling Problem

Most companies that are deeply investing in Knowledge Management (KM) initiatives encounter substantial difficulties in assessing the effectiveness of these programmes. Actually, measuring the impact of KM projects is still a puzzling problem both at the conceptual and operative level. However, measuring their performance is necessary for monitoring their progress and for successfully managing and allocating resources, as well as to maintain the support and commitment by the top management. Although several KM performance evaluation approaches have been proposed in literature, they are still far from becoming an established practice. The chapter aims at discussing this issue by placing it in a business context. First, the literature on KM performance evaluation is briefly reviewed, and the main methods currently used are classified. Then, the practical experience of a multinational company is discussed, with the purpose to describe the problems that practitioners face in their daily experience, and provide insights into the possible improvements of KM performance measurement.

The Impact of Performance Management Under Environmental Turbulence

2018 ◽  
Vol 49 (4) ◽  
pp. 441-453
Author(s):  
Obed Pasha ◽  
Theodore H. Poister
Keyword(s):  
Strategic Planning ◽  
Performance Measurement ◽  
Organizational Performance ◽  
Performance Management ◽  
Negative Impact ◽  
Positive Impact ◽  
The United States ◽  
Ordinary Least Squares ◽  
Transit Agencies ◽  
The Impact

Performance management is an established concept in the public sector, with several empirical studies supporting its beneficial impact on organizational performance. Research on performance management, however, is still in initial stages and mostly examines the impact of this practice under stable environmental conditions. This study adds to the literature by analyzing the effect of this system on performance of local transit agencies in a turbulent environment characterized by the Great Recession and its aftermath. Exploratory factor analysis (EFA) on survey responses from 162 local transit agencies in the United States is used to extract the four components of performance management, namely, formal strategic planning, logical incrementalism, performance measurement, and performance information use. Ordinary least squares (OLS) regression analysis shows that an independent use of formal strategic planning and logical incrementalism has a negative impact on organizational performance under turbulence. Performance measurement and a blend of formal strategic planning and logical incrementalism, however, show a positive impact.

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